Challenges of using model predictive control for active demand side management

Yi Zong, Shi You, Junjie Hu, Xue Han, Chongxi Jiang, Yi Zhang, Georg Martin Böning

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

461 Downloads (Pure)

Abstract

When there is a high penetration of renewables in the power system, it requires coordinated management of large numbers of distributed and demand response resources, intermittent resources to maintain the grid reliability and improve operational economics. This paper presents a hierarchical architecture design for Model Predictive Controller (MPC), and discusses the challenges encountered during the implementation of MPC for active demand side management. The two different pilot case studies show that energy savings and load shifting can be achieved by applying MPC with weather forecast and dynamic power price signals.
Original languageEnglish
Title of host publicationProceedings. The 4th International Conference on Microgeneration and Related Technologies (Microgen4)
Number of pages10
Publication date2015
Publication statusPublished - 2015
Event4th International Conference on Microgeneration and Related Technologies - Tokyo, Japan
Duration: 28 Oct 201530 Oct 2015
Conference number: 4
http://microgen4.info/

Conference

Conference4th International Conference on Microgeneration and Related Technologies
Number4
Country/TerritoryJapan
CityTokyo
Period28/10/201530/10/2015
Internet address

Keywords

  • Microgen 4

Fingerprint

Dive into the research topics of 'Challenges of using model predictive control for active demand side management'. Together they form a unique fingerprint.

Cite this